JOURNAL ARTICLE

Textual Data Hiding in Digital Images Using Chaotic Maps

Vipul SharmaRoohie Naaz Mi

Year: 2018 Journal:   International Journal of Computer Networks And Applications Vol: 5 (6)Pages: 78-78

Abstract

In this research paper, another methodology for covering up literary information in computerized hued pictures has been proposed.Digital colored pictures will simply be used as a canopy media in steganography as a result of numerous deficiencies rumored in sensory system of mortals.In the proposed system we have utilized two non-subordinate disordered arrangement, for distinguishing the fundamental pixel positions where the bits relating to the mystery message must be inserted in the computerized cover picture.For implanting the message bits in the clamorously chosen pixels a 3-3-2 Least Significant Bit (LSB) addition strategy has been utilized.The proposed technique also provides a sufficient level of security because of the fact that same series of chaotically generated pixel locations for embedding the message bits is very difficult to be reproduced, till and unless the initial conditions of the 2 chaotic maps used for pixel selection method are well known.Additionally, the arranged method gives higher leads as far as PSNR (Peak Signal to noise ratio) and MSE (Mean squared error) values when contrasted, with optional existing strategies, subsequently guaranteeing that meddlers won't have any doubt that there is a message covered up inside the sent cover picture.

Keywords:
Information hiding Computer science Chaotic CHAOS (operating system) Artificial intelligence Computer vision Computer graphics (images) Image (mathematics) Computer security

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
39
Refs
0.17
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Chaos-based Image/Signal Encryption
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Steganography and Watermarking Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Processing and 3D Reconstruction
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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